Add new Mintlify documentation site (docs_new/) (#23001)

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+---
+title: SGLang Diffusion
+description: Accelerated image and video generation with diffusion models.
+---
+
+SGLang Diffusion is an inference framework for accelerated image and video generation using diffusion models. It provides an end-to-end unified pipeline with optimized kernels and an efficient scheduler loop.
+
+## Key features
+
+* **Broad model support:** Wan series, FastWan series, Hunyuan, Qwen-Image, Qwen-Image-Edit, Flux, Z-Image, GLM-Image, and more
+* **Fast inference:** optimized kernels, efficient scheduler loop, and Cache-DiT acceleration
+* **Ease of use:** OpenAI-compatible API, CLI, and Python SDK
+* **Multi-platform:** NVIDIA GPUs (H100, H200, A100, B200, 4090), AMD GPUs (MI300X, MI325X), and Ascend NPU (A2, A3)
+
+## Quick start
+
+1. **Install SGLang Diffusion**
+
+```bash
+uv pip install "sglang[diffusion]" --prerelease=allow
+```
+
+See the [installation guide](./installation) for more installation methods and ROCm-specific instructions.
+
+2. **Run a one-off generation**
+
+```bash
+sglang generate --model-path Qwen/Qwen-Image \
+  --prompt "A beautiful sunset over the mountains" \
+  --save-output
+```
+
+3. **Serve with the OpenAI-compatible API**
+
+```bash
+sglang serve --model-path Qwen/Qwen-Image --port 30010
+```
+
+## CLI quick reference
+
+### Generate (one-off generation)
+
+```bash
+sglang generate --model-path <MODEL> --prompt "<PROMPT>" --save-output
+```
+
+### Serve (HTTP server)
+
+```bash
+sglang serve --model-path <MODEL> --port 30010
+```
+
+### Enable Cache-DiT acceleration
+
+```bash
+SGLANG_CACHE_DIT_ENABLED=true sglang generate --model-path <MODEL> --prompt "<PROMPT>"
+```
+
+## References
+
+* [SGLang GitHub](https://github.com/sgl-project/sglang)
+* [Cache-DiT](https://github.com/vipshop/cache-dit)
+* [FastVideo](https://github.com/hao-ai-lab/FastVideo)
+* [xDiT](https://github.com/xdit-project/xDiT)
+* [Diffusers](https://github.com/huggingface/diffusers)